Picture for Carlos M. Travieso-González

Carlos M. Travieso-González

Hand Geometry Based Recognition with a MLP Classifier

Add code
Apr 16, 2022
Marcos Faundez-Zanuy, Miguel A. Ferrer-Ballester, Carlos M. Travieso-González, Virginia Espinosa-Duro
Figure 1 for Hand Geometry Based Recognition with a MLP Classifier
Figure 2 for Hand Geometry Based Recognition with a MLP Classifier
Figure 3 for Hand Geometry Based Recognition with a MLP Classifier

This paper presents a biometric recognition system based on hand geometry. We describe a database specially collected for research purposes, which consists of 50 people and 10 different acquisitions of the right hand. This database can be freely downloaded. In addition, we describe a feature extraction procedure and we obtain experimental results using different classification strategies based on Multi Layer Perceptrons (MLP). We have evaluated identification rates and Detection Cost Function (DCF) values for verification applications. Experimental results reveal up to 100% identification and 0% DCF

* Zhang, D., Jain, A.K. (eds) Advances in Biometrics. ICB 2006. Lecture Notes in Computer Science, vol 3832. Springer  
* 8 pages published in International Conference on Biometrics ICB 2006, Advances in Biometrics pages 721 727 Hong Kong, China. arXiv admin note: substantial text overlap with arXiv:2204.07764 
Viaarxiv icon
Github IconAccess Paper or Ask Questions
Twitter IconFacebook IconLinkedin IconWhatsapp IconMessenger Icon